The guiding principle of this lecture is that students can understand how weather and climate models are formulated from the governing physical principles and how they are used for climate and weather prediction purposes.
Objective
The guiding principle of this lecture is that students can understand how weather and climate models are formulated from the governing physical principles and how they are used for climate and weather prediction purposes.
Content
The course provides an introduction into the following themes: numerical methods (finite differences and spectral methods); adiabatic formulation of atmospheric models (vertical coordinates, hydrostatic approximation); parameterization of physical processes (e.g. clouds, convection, boundary layer, radiation); atmospheric data assimilation and weather prediction; predictability (chaos-theory, ensemble methods); climate models (coupled atmospheric, oceanic and biogeochemical models); climate prediction.
Hands-on experience with simple models will be acquired in the tutorials.
Lecture notes
Slides and lecture notes will be made available at Link
Literature
List of literature will be provided.
Prerequisites / Notice
Prerequisites: to follow this course, you need some basic background in numerical methods (e.g., "Numerische Methoden in der Umweltphysik", 701-0461-00L)
Performance assessment
Performance assessment information (valid until the course unit is held again)